Abstract
In this paper, we present our approach to design a brain-computer interface (BCI) that allows the user to perform multitask humanoid control. We efficiently integrate techniques from computer vision and the task-function based control together with the brain-computer interface into an immersive and intuitive control application despite the well-known shortcomings of BCI. This approach is assessed in a user experiment involving 4 subjects who successfully controlled the HRP-2 humanoid robot in a scenario involving both grasping tasks and steering. The user experiences and the interface performances are presented and give a rich insight into future research that can be made to improve and extend such interface.
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Gergondet, P., Kheddar, A., Hintermüller, C., Guger, C., Slater, M. (2013). Multitask Humanoid Control with a Brain-Computer Interface: User Experiment with HRP-2. In: Desai, J., Dudek, G., Khatib, O., Kumar, V. (eds) Experimental Robotics. Springer Tracts in Advanced Robotics, vol 88. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00065-7_16
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DOI: https://doi.org/10.1007/978-3-319-00065-7_16
Publisher Name: Springer, Heidelberg
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